Literature DB >> 7000734

Do hospital staff interfere with computer system implementation?

A F Dowling.   

Abstract

Sabotage of MCBIS by hospital staff endangers and disrupts the delivery of inpatient health care. Wide-spread interference, along with other implementation problems, cripples the ability of MCBIS to function properly and affects health care costs and quality of services.

Mesh：

Year:  1980        PMID： 7000734

Source DB:  PubMed          Journal:  Health Care Manage Rev        ISSN： 0361-6274


  15 in total

1.  The effects of creating psychological ownership on physicians' acceptance of clinical information systems.

Authors:  Guy Paré; Claude Sicotte; Hélène Jacques
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

Review 2.  Computer Rx: more harm than good?

Authors:  R Wall
Journal:  J Med Syst       Date:  1991-12       Impact factor: 4.460

3.  Pathologic elements in the planning of information systems: the case of hospitals in Quebec.

Authors:  D J Ferrand; M Chokron
Journal:  J Med Syst       Date:  1991-02       Impact factor: 4.460

4.  Evaluation of online documentation.

Authors:  C M Prophet; M E Krall; G K Budreau; T D Gibbs; K P Walker; J M Eyman; M J Hafner
Journal:  Proc AMIA Symp       Date:  1998

5.  Shipboard medical information systems: familiarity and receptivity.

Authors:  C G Blood; D M Brand
Journal:  J Med Syst       Date:  1988-06       Impact factor: 4.460

6.  Resistance to computerization. An examination of the relationship between resistance and the cognitive style of the clinician.

Authors:  S F Mandell
Journal:  J Med Syst       Date:  1987-08       Impact factor: 4.460

7.  Initial impact of a clinical laboratory computer system. Themes common to expectations and actualities.

Authors:  B Kaplan
Journal:  J Med Syst       Date:  1987-06       Impact factor: 4.460

8.  Adapting to the implementation of a medical information system: a comparison of short- versus long-term findings.

Authors:  M A Counte; K H Kjerulff; J C Salloway; B C Campbell
Journal:  J Med Syst       Date:  1987-02       Impact factor: 4.460

9.  Evaluation of user acceptance of a clinical expert system.

Authors:  R M Gardner; H P Lundsgaarde
Journal:  J Am Med Inform Assoc       Date:  1994 Nov-Dec       Impact factor: 4.497

Review 10.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317
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